Sr./Staff ML Infrastructure Engineer, Compute (TPU Scheduling) - Foundation Model

Apple

Seattle, WA

JOB DETAILS
LOCATION
Seattle, WA
POSTED
29 days ago
**Weekly Hours:** 40 **Role Number:** 200661483-3337 **Summary** Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something! **Description** As a Senior/Staff Engineer on the Foundation Model Compute Infrastructure team, you will lead the design and development of scheduling and orchestration systems for large-scale TPU workloads across multi-region clusters. You will work on distributed systems that manage thousands of accelerators and enable reliable, efficient execution of large-scale training and inference jobs. This role spans scheduling algorithms, cluster lifecycle management, workload orchestration, reliability engineering, and performance optimization. **Minimum Qualifications** + 7+ years of industry experience building large-scale distributed systems or cloud infrastructure + Strong programming skills in Python, Go, C++, or similar systems languages + Extensive experience with compute infrastructure and workload scheduling + Strong expertise in distributed systems, scalability, reliability, and performance engineering + Experience with Kubernetes, container orchestration, or large-scale cluster management systems + Experience designing backend services or infrastructure platforms operating at production scale + Strong communication and collaboration skills across engineering and research teams + Bachelor's degree in Computer Science, Engineering, or related field **Preferred Qualifications** + Experience building schedulers, resource managers, or orchestration systems for distributed workloads + Experience with accelerator infrastructure such as TPU, GPU + Experience with distributed ML training or inference systems + Familiarity with frameworks such as JAX, PyTorch, TensorFlow, Ray, Pathways + Experience operating large-scale multi-tenant infrastructure in cloud or hybrid environments + Background in performance optimization, fault tolerance, or resource efficiency for large distributed systems + MS or PhD in Computer Science, Engineering, or related field

About the Company

A

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs